Data Engineering Podcast
Een podcast door Tobias Macey - Zondagen
Categorieën:
419 Afleveringen
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The Benefits And Challenges Of Building A Data Trust - Episode 118
Gepubliceerd: 3-2-2020 -
Pay Down Technical Debt In Your Data Pipeline With Great Expectations - Episode 117
Gepubliceerd: 27-1-2020 -
Replatforming Production Dataflows - Episode 116
Gepubliceerd: 20-1-2020 -
Planet Scale SQL For The New Generation Of Applications - Episode 115
Gepubliceerd: 13-1-2020 -
Change Data Capture For All Of Your Databases With Debezium - Episode 114
Gepubliceerd: 6-1-2020 -
Building The DataDog Platform For Processing Timeseries Data At Massive Scale - Episode 113
Gepubliceerd: 30-12-2019 -
Building The Materialize Engine For Interactive Streaming Analytics In SQL - Episode 112
Gepubliceerd: 23-12-2019 -
Solving Data Lineage Tracking And Data Discovery At WeWork - Episode 111
Gepubliceerd: 16-12-2019 -
SnowflakeDB: The Data Warehouse Built For The Cloud - Episode 110
Gepubliceerd: 9-12-2019 -
Organizing And Empowering Data Engineers At Citadel - Episode 109
Gepubliceerd: 3-12-2019 -
Building A Real Time Event Data Warehouse For Sentry - Episode 108
Gepubliceerd: 26-11-2019 -
Escaping Analysis Paralysis For Your Data Platform With Data Virtualization - Episode 107
Gepubliceerd: 18-11-2019 -
Designing For Data Protection - Episode 106
Gepubliceerd: 11-11-2019 -
Automating Your Production Dataflows On Spark - Episode 105
Gepubliceerd: 4-11-2019 -
Build Maintainable And Testable Data Applications With Dagster - Episode 104
Gepubliceerd: 28-10-2019 -
Data Orchestration For Hybrid Cloud Analytics - Episode 103
Gepubliceerd: 22-10-2019 -
Keeping Your Data Warehouse In Order - Episode 102
Gepubliceerd: 15-10-2019 -
Fast Analytics On Semi-Structured And Structured Data In The Cloud - Episode 101
Gepubliceerd: 8-10-2019 -
Ship Faster With An Opinionated Data Pipeline Framework - Episode 100
Gepubliceerd: 1-10-2019 -
Open Source Object Storage For All Of Your Data - Episode 99
Gepubliceerd: 23-9-2019
This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.